Quick Answer
The answer is 0.44. This result comes from the recall calculation from a confusion matrix, where recall is defined as true positives divided by the sum of true positives and false negatives. In this case, with 400 true positives and 500 false negatives, the formula yields 400 divided by 900, which equals approximately 0.444, rounded to 0.44. On the CompTIA AI+ AI0-001 exam, this metric tests your ability to distinguish recall from precision and accuracy, often appearing in scenario-based questions where you must identify which model performance measure is most relevant for minimizing missed positive cases. A common trap is confusing recall with precision—remember that recall focuses on capturing all actual positives, while precision focuses on the correctness of positive predictions. To keep them straight, think of recall as “how many of the actual positives did we recall?”—the “R” in recall reminds you to look at the row of actual positives in the confusion matrix.
This AI0-001 practice question tests your understanding of machine learning and deep learning. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
Predicted Negative Predicted Positive Actual Negative 9000 100 Actual Positive 500 400
Refer to the exhibit. What is the recall of the model?
Predicted Negative Predicted Positive Actual Negative 9000 100 Actual Positive 500 400
0.44
Recall = 400/(400+500) = 0.4444, so 0.44.
0.80
Why wrong: 0.80 is the precision (TP/(TP+FP) = 400/500 = 0.8).
0.90
Why wrong: 0.90 is the specificity (TN/(TN+FP) = 9000/9100 ≈ 0.989, not 0.90).
0.99
Why wrong: 0.99 is the accuracy ((9000+400)/10000 = 0.94, not 0.99).
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
0.44
Recall = TP / (TP + FN) = 400 / (400 + 500) = 400 / 900 ≈ 0.444, which rounds to 0.44.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
0.44
Why this is correct
Recall = 400/(400+500) = 0.4444, so 0.44.
Related concept
Read the scenario before looking for a memorised answer.
0.80
Why it's wrong here
0.80 is the precision (TP/(TP+FP) = 400/500 = 0.8).
0.90
Why it's wrong here
0.90 is the specificity (TN/(TN+FP) = 9000/9100 ≈ 0.989, not 0.90).
0.99
Why it's wrong here
0.99 is the accuracy ((9000+400)/10000 = 0.94, not 0.99).
Common exam traps
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A practitioner preparing for the AI0-001 exam encounters this exact type of scenario on the job. The correct answer here is not the most general option — it is the best answer for the specific constraint described. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.
What to study next
Identify which AI0-001 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Machine Learning and Deep Learning — study guide chapter
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FAQ
Machine Learning and Deep Learning — This question tests Machine Learning and Deep Learning — Read the scenario before looking for a memorised answer..
The correct answer is: 0.44 — Recall = TP / (TP + FN) = 400 / (400 + 500) = 400 / 900 ≈ 0.444, which rounds to 0.44.
Identify which AI0-001 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Read the scenario before looking for a memorised answer.
About these practice questions
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Last reviewed: Jun 23, 2026
This AI0-001 practice question is part of Courseiva's free CompTIA certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI0-001 exam.
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